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AIOps & Observability

Building the operational view from zero

KafkaSnowflakeTableau
Shipped SaaS manageability to 2,000+ enterprise accounts.

The problem

A SaaS management experience cannot depend on each operator assembling telemetry by hand. Customers and support teams need a consistent view of health, behavior, and change before they can diagnose an issue or decide what to do next.

What I shipped

SaaS manageability features and AIOps intelligence dashboards backed by Kafka, ELK, Snowflake, and Tableau. The work established real-time observability where no unified operational view had existed.

What was hard

A dashboard is only the visible surface. The real product work is agreeing on which signals deserve attention, how fresh they must be, and how raw telemetry becomes a decision an operator can make without consulting five other systems.

The result

The manageability experience shipped to more than 2,000 enterprise accounts and gave the platform a foundation for operational intelligence rather than retrospective reporting alone.

Running untrusted agents in production →Platform operations as agent-executable skills →Rules for the 80%, models for the tail →Right-sizing a fleet with a seasonal load curve →Shipping generative analytics before the playbook existed →Grounding a sales assistant in renewal knowledge →Scaling content governance with policy and data →